Ordinary derivatives in one-variable calculus
Your heating bill depends on the average temperature outside. If all
other factors remain constant, then the heating bill will increase
when temperatures drop. Let's denote average temperature by T, and
define a function
h : R
R so that h(T) gives the heating
bill as a function of T.
We can then interpret the ordinary derivative (i.e., the derivative you learned about in first semester calculus) as indicating how much the heating bill will change as you change the temperature:
( at T = a). |
Although I don't know what h(T) should really look like, pretend it
looks like thick green curve graphed below. The point (a, h(a)) is
shown in red, which you can change by dragging with your mouse. We
can visualize the derivative by drawing a (thin blue) line tangent to
the curve at the point (a, h(a)). The slope of the line is equal to
the slope of the graph when T = a; hence, the slope of the line is
equal to the derivative
(a).
Partial derivatives are analogous to ordinary derivatives
Clearly, writing the heating bill as a function of temperature is a
gross oversimplification. The heating bill will depend on other
factors, not least of which is the amount of insulation in your house,
which we'll denote by I. We can define a new function
h : R2
R so that h(T, I) gives the heating bill as function of both
temperature T and insulation I.
Who knows, maybe this function would look something like the below graph.
Suppose you aren't changing the amount of insulation in your house, so
that we view I as a fixed number. Then, if we look at how the
heating bill changes as temperature changes, we're back to our first
case above. The only difference is that we now view h as a function
of both T and I, and we are explicitly leaving one of the
variables (I) constant. In this case, we call the change in h the
partial derivative of h with respect to T, a term that
reflects the fact some variables remain constant. We also change our
notation by writing the d as a
, so that
( at T = a while holding I constant at b). |
Now, imagine you are considering the possibility of lowering your heating bill by installing additional insulation. To help you decide if it will be worth your money, you may want to know how much adding insulation will decrease the heating bill, assuming the temperature remains constant. In other words, you want to know the partial derivative of h with respect to I:
( at I = b while holding T constant at a). |
The partial derivative
indicates how much
effect additional insulation will have on the heating bill. Since
additional insulation will presumably lower the heating bill,
will be negative. If additional
insulation will have a large effect, then
will be a large, negative number. If, for your house,
is large and negative, you may be inclined to add
insulation to save money.
In the graph of h(T, I), the partial derivatives can be viewed as the
slopes of the graphs in the T direction and in the I direction.
In the below CVT, the partial derivative
corresponds to the slope of the dark blue line, and the partial
derivative
corresponds to the slope of
the light green line. (The numerical values of these partial
derivatives are also displayed. However, I wrote them like dh/dT
because I couldn't get a
character to display in the
graph.)
You can drag the red point around to change the values of T and I
see how, for example, the partial derivative
depends on both temperature and insulation.
Consequently, your decision to add insulation will be affected by what
temperatures you expect and how much insulation your home has already.
You might expect that additional insulation will have a larger effect
(i.e.,
will be larger negative number)
for lower temperatures and smaller amounts of insulation. So if you
live in Minnesota and have an old, poorly insulated house, it's likely
that
will be a very large, negative
number so that adding a moderate amount of insulation could
dramatically decrease your heating bill.
As mentioned above, a heating bill depends on many more factors than
temperature and insulation. We could define a function h of many
variables to give a more accurate estimate of heating costs. However,
the math is the same no matter how many variables h depends on, as
long as it depends on two or more. So, if you want to include the
effect of the size S of a house, you can define h(T, I, S) to be the
heating bill as a function of temperature, insulation, and size. Then
(T, I, S) would tell you how much the
heating costs change as you change the size, leaving temperature and
insulation constant. (Even though I cannot plot a graph of
h(T, I, S), I hope that the concept of the partial derivatives of h
still makes sense.) I imagine the value of
would be useful only if you are planning to move since
you probably don't plan to cut a room off your house to save heating
costs (though I suppose you could just not heat a room and effectively
reduce the size).
I hope you stay warm this winter.
You can find examples of calculating partial derivatives by following this link.